Homepage: https://textblob.readthedocs.io/
TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
from textblob import TextBlob
text = '''
The titular threat of The Blob has always struck me as the ultimate movie
monster: an insatiably hungry, amoeba-like mass able to penetrate
virtually any safeguard, capable of--as a doomed doctor chillingly
describes it--"assimilating flesh on contact.
Snide comparisons to gelatin be damned, it's a concept with the most
devastating of potential consequences, not unlike the grey goo scenario
proposed by technological theorists fearful of
artificial intelligence run rampant.
'''
blob = TextBlob(text)
blob.tags # [('The', 'DT'), ('titular', 'JJ'),
# ('threat', 'NN'), ('of', 'IN'), ...]
blob.noun_phrases # WordList(['titular threat', 'blob',
# 'ultimate movie monster',
# 'amoeba-like mass', ...])
for sentence in blob.sentences:
print(sentence.sentiment.polarity)
# 0.060
# -0.341
blob.translate(to="es") # 'La amenaza titular de The Blob...'
TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both.
Features
Noun phrase extraction
Part-of-speech tagging
Sentiment analysis
Classification (Naive Bayes, Decision Tree)
Language translation and detection powered by Google Translate
Tokenization (splitting text into words and sentences)
Word and phrase frequencies
Parsing
n-grams
Word inflection (pluralization and singularization) and lemmatization
Spelling correction
Add new models or languages through extensions
WordNet integration
Get it now
$ pip install -U textblob $ python -m textblob.download_corpora
Examples
See more examples at the Quickstart guide.
Documentation
Full documentation is available at https://textblob.readthedocs.io/.
Requirements
Python >= 2.7 or >= 3.4
Project Links
License
MIT licensed. See the bundled LICENSE file for more details.
Metadata
Release files for textblob 0.13.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| textblob-0.13.1.tar.gz | 630.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| textblob-0.13.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 1.3 MB
Release files / textblob-0.13.1.tar.gz
| Download URL | textblob-0.13.1.tar.gz |
|---|---|
| Size | 630.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
98e8796d4ed40c9c35ab791a601f39a9acd5719d44a398922493b85caf539891
|
|
BLAKE2b-256 checksum How to use checksums |
b9bdc336c7d5d6b985d4b1becb0f250998f0a9ab4c1de37c1a794739353d1a6c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / textblob-0.13.1-py2.py3-none-any.whl
| Download URL | textblob-0.13.1-py2.py3-none-any.whl |
|---|---|
| Size | 631.4 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
0235fa21cee3d88d2a43f604f507664ff8b593e70029af451620f99ec3635a23
|
|
BLAKE2b-256 checksum How to use checksums |
e34fca3aa65d915cbf1704bcb40fc3bccf720022c7176091d0501dc0c9cf435f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |